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No evidence of an association between mitochondrial DNA variants and osteoarthritis in 7393 cases and 5122 controls.

Gavin Hudson | Kalliope Panoutsopoulou | Ian Wilson | Lorraine Southam | Nigel W Rayner | Nigel Arden | Fraser Birrell | Ian Carluke | Andrew Carr | Kay Chapman | Panos Deloukas | Michael Doherty | Andrew McCaskie | William E R Ollier | Stuart H Ralston | Mike R Reed | Tim D Spector | Ana M Valdes | Gillian A Wallis | J Mark Wilkinson | Eleftheria Zeggini | David C Samuels | John Loughlin | Patrick F Chinnery | arcOGEN Consortium
Annals of the rheumatic diseases | 2013

Osteoarthritis (OA) has a complex aetiology with a strong genetic component. Genome-wide association studies implicate several nuclear genes in the aetiology, but a major component of the heritability has yet to be defined at the molecular level. Initial studies implicate maternally inherited variants of mitochondrial DNA (mtDNA) in subgroups of patients with OA based on gender and specific joint involvement, but these findings have not been replicated.

Pubmed ID: 22984172

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: Wellcome Trust, United Kingdom
    Id: 083948
  • Agency: Wellcome Trust, United Kingdom
    Id: 101876
  • Agency: Medical Research Council, United Kingdom
    Id: MR/K000608/1
  • Agency: Parkinson's UK, United Kingdom
    Id: F-1202
  • Agency: Medical Research Council, United Kingdom
    Id: MC_U122886349
  • Agency: Wellcome Trust, United Kingdom
    Id: 076113
  • Agency: Medical Research Council, United Kingdom
    Id: MR/K002279/1
  • Agency: Wellcome Trust, United Kingdom
    Id: WT096919Z/11/Z
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_12023/14
  • Agency: Medical Research Council, United Kingdom
    Id: G0100594
  • Agency: Medical Research Council, United Kingdom
    Id: G0000934
  • Agency: Wellcome Trust, United Kingdom
    Id: WT084980/Z/08/Z
  • Agency: Wellcome Trust, United Kingdom
    Id: 098051
  • Agency: Wellcome Trust, United Kingdom
    Id: WT079557MA
  • Agency: Wellcome Trust, United Kingdom
    Id: 068545
  • Agency: Wellcome Trust, United Kingdom
    Id: 096919
  • Agency: Medical Research Council, United Kingdom
    Id: G0600237
  • Agency: Arthritis Research UK, United Kingdom
    Id: 18030
  • Agency: Medical Research Council, United Kingdom
    Id: G0901461
  • Agency: Medical Research Council, United Kingdom
    Id: G0900753
  • Agency: Wellcome Trust, United Kingdom
    Id: 085475

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This is a list of tools and resources that we have found mentioned in this publication.


PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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Cluster (tool)

RRID:SCR_013505

Software R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.

View all literature mentions